Marc S. Raab
- Hematology top 0.1%
- Multiple Myeloma Research and Treatments 169
- Oncology top 1%
- Peptidase Inhibition and Analysis 44
- Cancer Treatment and Pharmacology 22
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 16
- Myeloproliferative Neoplasms: Diagnosis and Treatment 14
- Molecular Biology top 2%
- Protein Degradation and Inhibitors 60
- Immunology top 5%
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- Monoclonal and Polyclonal Antibodies Research 16
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- Cancer Mechanisms and Therapy 16
- Co-authors
- Kenneth C. AndersonPaul G. RichardsonHartmut GoldschmidtKlaus PodarIris BreitkreutzDirk HoseAnna JauchAnthony D. Ho
- Cited by
- HematologyOncologyGenetics
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Marc S. Raab
187 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Hematology 3.5k
- Oncology 2.4k
- Genetics 519
- Molecular Biology 3.4k
- Immunology 736
Countries citing papers authored by Marc S. Raab
This map shows the geographic impact of Marc S. Raab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marc S. Raab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc S. Raab more than expected).
Fields of papers citing papers by Marc S. Raab
This network shows the impact of papers produced by Marc S. Raab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marc S. Raab. The network helps show where Marc S. Raab may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc S. Raab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 61 | |
| 12 | 2020 | 9 | |
| 13 | 2019 | 25 | |
| 14 | 2018 | 17 | |
| 15 | 2017 | 11 | |
| 16 | 2016 | 23 | |
| 17 | 2013 | 171 | |
| 18 | 2012 | 56 | |
| 19 | 2009 | 76 | |
| 20 | 2007 | 55 |
About Marc S. Raab
Marc S. Raab is a scholar working on Hematology, Oncology and Genetics, having authored 201 papers that have together received 5.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (169 papers), Protein Degradation and Inhibitors (60 papers), Peptidase Inhibition and Analysis (44 papers), Cancer Treatment and Pharmacology (22 papers), Chronic Lymphocytic Leukemia Research (16 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Cancer Mechanisms and Therapy (16 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers). The work is most often cited by research in Hematology (3.5k citations), Oncology (2.4k citations) and Genetics (519 citations). Marc S. Raab has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Kenneth C. Anderson, Paul G. Richardson, Hartmut Goldschmidt, Klaus Podar, Iris Breitkreutz, Dirk Hose, Anna Jauch, Anthony D. Ho, Jens Hillengaß and Dharminder Chauhan. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.